An insect monitoring system (ISM) and related e-commerce system are provided. The ISM includes an insect attracting light, an intake, an exhaust, an airflow conduit between intake and exhaust, an insect collecting mesh in the conduit, a fan for generating airflow in the airflow conduit, and one or more cameras pointed on the insect collecting mesh. The insect attracting light and the fan are activated such that insects are drawn into the intake and trapped against the insect collecting mesh. The images of the insect collecting mesh are processed and analyzed using a machine learning algorithm to recognize a type and number of insects. Recommendations are provided based on the analysis. In some aspects, the insect monitoring system is connected to electronic client devices over a communication network. The electronic devices are provided with an e-commerce application for sale of products and services responsive to the recommendations.
Legal claims defining the scope of protection, as filed with the USPTO.
3. The insect monitoring system of claim 1, wherein the movable insect collecting mesh is movable by a first servo motor operatively connected to the controller.
4. The insect monitoring system of claim 3, wherein the movable cleaning blade is movable by a second servo motor operatively connected to the controller.
6. The insect monitoring system of claim 1, wherein the insect attracting light is operable to emit light at a wavelength between 350 nm and 650 nm.
7. The insect monitoring system of claim 1, wherein the controller is operable according to a predetermined schedule.
8. The insect monitoring system of claim 1, further comprising a communication module for transmitting and receiving data over a communication network.
10. The insect monitoring system of claim 9, wherein each recognized insect is associated with a prediction score indicative of a confidence of the MLA in recognizing the insect.
11. The insect monitoring system of claim 10, wherein each recognized insect is associated with a bounding box indicative of an approximate location and size of the recognized insect in the images.
12. The insect monitoring system of claim 11, wherein each recognized insect is associated with a mask at least partially indicative of pixels belonging to the recognized insect in the images.
13. The insect monitoring system of claim 9, wherein the outputting the set of recognized insects comprises outputting a number of each type of recognized insect.
14. The insect monitoring system of claim 9, wherein the MLA comprises a convolutional neural network (CNN) or a region proposal network (RPN).
18. The insect monitoring system of claim 17, wherein the client device is connected to the insect monitoring system.
20. The insect monitoring system of claim 19, wherein the transmitting the insecticide recommendations to the client device comprises transmitting a recommendation of at least one additional product or service available from the e-commerce application such as an agricultural nutrient, a replacement part for the insect monitoring system or a service call for servicing the insect monitoring system.
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June 9, 2020
December 31, 2024
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